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    A novel optimization algorithm based on the natural behavior of the ant colonies
    (2013-01-01)
    Kiatwuthiamorn, Jiraporn
    ;
    Thammano, Arit
    Optimization problem is one of the most challenging problems that has received considerable attention over the last decade. Many metaheuristic methods have been proposed and successfully applied to find the optimal solution. Each technique has its good and bad points. A new optimization technique based on the natural behavior of the ant colonies is proposed in this paper. In this proposed algorithm, the foraging behavior of worker ants is employed for locally searching for better solution while the marriage, breeding, and feeding behaviors are used in reproduction of the new generation. The proposed algorithm has been evaluated on several benchmark problems. The experimental results demonstrate the effectiveness of the proposed algorithm. © 2013 The Authors. Published by Elsevier B.V.
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    Molecular network based on ant colony system via wavelength routers
    (2010-09-01)
    Taengtang, T.
    ;
    Praitoonwattanakit, K.
    ;
    Yupapin, P. P.
    We propose a new method of molecular transporters generations based on ant colony algorithm for molecular classification and storage applications. The transportation network of molecules via multitweezers inside the close system can be manipulated in the same way of ant colony algorithm relationship. In the proposed method, we assign that each of ants represents an individual tweezer. By using ant colony system, the random codes can be used to communicate between ants inside swarm with pheromone being formed the random network. The quantum state of transporter (individual ant) with different states and wavelengths is represented by the pheromone. In application, this proposal can be an alternative random networking which may be used for communication security, where the fast multiple access may be plausible. © 2010 Wiley Periodicals.